NiftyName is a system for creating and managing virtual machine pools and all related components such as storage, private and public networks. It is intended to be used as a free alternative to Amazon EC2 and Microsoft Azure. All components have been designed for multi-site active redundancy, though this is not supported yet. Its architecture is based on documented XML-RPC (SSL) Web services, so you can make your own derivative tools for it. Console and GTK+ client applications are provided. VMs are based on KVM. It supports IPv6, private VLANs, multiple interfaces, user/client management, permissions, and roles.

iBeans aims to make integration for Web applications much easier than it is today. It does this by focusing on simplicity and task-based integration and avoids technical jargon and new concepts wherever possible. It offers easy to use integration for doing things like publishing and subscribing to JMS queues and topics, sending and receiving email, polling resources such as databases and ATOM feeds, task scheduling, creating HTTP/Rest services, consuming external services such as Amazon EC2 and S3, Twitter, Flickr, Google, and much more. It proves a Tomcat distribution that drops straight into Tomcat, with no need to mess with your project dependencies, and works with developer tooling for Tomcat or Tcat. It has a very simple API using annotations. This means iBeans can be plugged into your existing Web apps easily. It includes easy unit and mock testing using JUnit. IBeans Central offers a great place to discover and try new iBeans in your applications.

OfficeFloor provides true inversion of control for building simple static to complex real-time Web applications that are "build once, run anywhere" - even with cloud computing. It allows you to wire together a working prototype in minutes, extend the prototype to a working Web site in hours, and deploy and run anywhere. The code is self documenting to make support easier. It aims to be "The Java Web Answer" for rapid application development for Web applications.

Active Insight is an ESP/CEP (Event Stream Processing/Complex Event Processing) framework for real-time, value-based detection and reaction to events and patterns. It offers a distributed (cloud ready) event processing runtime with an embedded pattern engine to support event aggregation and correlation. Active Insight simplifies the development of distributed event processing using the plain old Java object (POJO) approach where events and event processors are plain Java objects wired by Spring dependency injection.
The framework can be used for various applications such as homeland security, online behavioral targeting, advertising, fraud detection, SIEM, telematics, algorithmic trading, and others.

KaOS is a lightweight, multi-purpose embedded Linux platform designed for virtualization and cloud computing applications. KaOS is based on Linux KVM and is a true enterprise grade hypervisor platform. KaOS makes it easy to deploy KVM based virtualization solutions. KaOS is a lightweight platform, less than 10MB in size. The SDK provides everything necessary to rebuild the platform and comes with scripts to assist with building a KaOS-enabled Linux kernel. KaOS has a menu-driven CLI called AppQueue and a management process that replaces init and other functions called kattach.

VyperBlog is an all-in-one site template for the Google App Engine. It is meant for small businesses or enterprises that want to get into the Google cloud using a turn-key solution that provides security and safety for the data being stored in the back-end database. VyperBlog provides protection from hackers and crackers who might want to abuse forms and other resources being published by those who are using VyperBlog. VyperBlog employs a unique method for securing sites called Secure-Site.

Makeflow is a workflow engine for executing large complex applications on clusters, clouds, and grids. It can be used to drive several different distributed computing systems, including Condor, SGE, and the included Work Queue system. It does not require a distributed filesystem, so you can use it to harness whatever collection of machines you have available. It is typically used for scaling up data-intensive scientific applications to hundreds or thousands of cores.